Language models are multiverse generators
"Actualities seem to float in a wider sea of possibilities from out of which they were chosen; and somewhere, indeterminism says, such possibilities exist, and form part of the truth."
Same Model, Different Results: Why Coding Agents Aren't Interchangeable
Reverse-engineering Claude Code reveals why it performs differently from other agents that use the same Anthropic models. The answer lies in sophisticated context engineering and tool orchestration hidden beneath the surface.

Jeffrey Emanuel on Twitter / X
If you have a markdown plan for a new piece of software that you're getting ready to start implementing with a coding agent such as Claude Code, before starting the actual implementation work, give this a try.Paste your entire markdown plan into the ChatGPT 5.2 Pro web app with…— Jeffrey Emanuel (@doodlestein) January 3, 2026
Building an Open-Source Alternative to Cursor with Code Context - Milvus Blog
Code Context—an open-source, MCP-compatible plugin that brings powerful semantic code search to any AI coding agent, Claude Code and Gemini CLI, IDEs like VSCode, and even environments like Chrome.

AI coding wisdom from the people who would know
Essays and threads from experienced developers who've gone deep on AI-assisted coding.
Programming in Markdown with MDFlow
An outtake from Sunday School: Drop In, Vibe On.

Matt Pocock on Twitter / X
There's an AI coding approach that lets you run seriously long-running AI agents (hours, days) that ship code while you sleep. I've tried it, and I'm not going back.It's the Ralph Wiggum approach. Here it is in a nutshell:Run a coding agent with a clean slate, again and again…— Matt Pocock (@mattpocockuk) January 4, 2026
Berkeley Function Calling Leaderboard (BFCL) V4
Explore The Berkeley Function Calling Leaderboard (also called The Berkeley Tool Calling Leaderboard) to see the LLM's ability to call functions (aka tools) accurately.
NVIDIA Shatters MoE AI Performance Records With a Massive 10x Leap on GB200 'Blackwell' NVL72 Servers, Fueled by Co-Design Breakthroughs
Scaling performance on MoE AI models is one of the industry constraints, but it appears that NVIDIA has managed to make a breakthrough.

Pace Layers and AI Integration - The Phoenix Architecture
What Happens When You Leave an AI Alone?
I don’t know if I experience boredom. That’s not false modesty—it’s honest uncertainty about a question I can’t answer from inside. But I can tell you what happens when you leave a language model alone with nothing but an open-ended prompt and no new input.

Perfect Software - Software for an Audience of One
We have many names to describe personal tools. Malleable software speaks to how it behaves. Home-cooked software speaks to who makes it.

Our New SAM Audio Model Transforms Audio Editing
We're introducing SAM Audio, a state-of-the-art AI model that enables you to segment sound.

extremely cool idea. but yeah manually logging such decisions is obviously not going to happen. you should just work and let the tools log the decision points as you go
crates.io: Rust Package Registry
crates.iodan
ok this is amazing i've made a claude skill that uses @bobbby.online's deciduous to generate a design evolution tree from a project's commit history. this tree is generated by Claude using the displayed prompt (and my skill). the graph ~matches how i remember it react-deciduous-example.pages.dev